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permission + remove copilot intx + remove monkey patch
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14 changed files with 21 additions and 20 deletions
18
.github/instructions/.instructions.md
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.github/instructions/.instructions.md
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---
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applyTo: '**'
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---
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# Implementation
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- When asked for a change or implementation, only work on the specific task I have given you with the most concise and elegant solution that changes as little code as possible.
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- If the requested feature has unintended side effect, let the user know before implementing.
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# Review
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- When reviewing, first check the code diff for potential bugs and inconsistencies. After that, check if the change would cause any bugs somewhere else in the codebase.
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# Code Style
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- Follow best practices to keep code clean and succinct.
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# General
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- You should give detailed, professional, and nicely formatted explanation.
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- Always think slowly and carefully before doing anything. Be objective.
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- If instruction is unclear or ambiguous, ask the user for clarification.
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scripts/main_exp/eval/base_model.sh
Normal file → Executable file
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scripts/main_exp/eval/base_model.sh
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scripts/main_exp/eval/cd.sh
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scripts/main_exp/eval/cd.sh
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scripts/main_exp/eval/cd_oracle.sh
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scripts/main_exp/eval/cd_oracle.sh
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scripts/main_exp/eval/d2l.sh
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scripts/main_exp/eval/d2l.sh
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scripts/main_exp/eval/llmlingua.sh
Normal file → Executable file
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scripts/main_exp/eval/llmlingua.sh
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scripts/main_exp/eval/t2l.sh
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scripts/main_exp/eval/t2l.sh
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scripts/main_exp/gen_data.sh
Normal file → Executable file
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scripts/main_exp/gen_data.sh
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@ -3,7 +3,7 @@ uv run data/download_fineweb_edu.py
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# generate qa data
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# run from 000 to 013
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for shard_id in $(seq -f "%03g" 0 1); do
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for shard_id in $(seq -f "%03g" 0 13); do
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uv run data/generate_fw_edu_qa_v2.py --shard_pattern "${shard_id}_00000" --n_qa_pairs=5 --vllm_model=google/gemma-3-12b-it --max_length=2000 --max_model_length=2048;
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uv run data/generate_fw_edu_qa_v2_repeat.py --shard_pattern "min_0_to_2000/${shard_id}*level_0*" --n_qa_pairs=5 --vllm_model=google/gemma-3-12b-it;
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scripts/main_exp/gen_data_test.sh
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scripts/main_exp/gen_data_test.sh
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@ -0,0 +1,20 @@
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# download fineweb_edu to `data/raw_datasets/fineweb_edu
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uv run data/download_fineweb_edu.py
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# generate qa data
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# run from 000 to 013
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for shard_id in $(seq -f "%03g" 0 1); do
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uv run data/generate_fw_edu_qa_v2.py --shard_pattern "${shard_id}_00000" --n_qa_pairs=5 --vllm_model=google/gemma-3-12b-it --max_length=2000 --max_model_length=2048;
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uv run data/generate_fw_edu_qa_v2_repeat.py --shard_pattern "min_0_to_2000/${shard_id}*level_0*" --n_qa_pairs=5 --vllm_model=google/gemma-3-12b-it;
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# self-generated response QA data
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uv run data/self_generate_qa.py --vllm_model google/gemma-2-2b-it --glob_pattern "data/raw_datasets/fw_qa_v2/min_0_to_2000/${shard_id}*_level_1*" --closed_qa_prob 1.0
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done
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# val split
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uv run data/self_generate_qa.py --vllm_model google/gemma-2-2b-it --glob_pattern 'data/raw_datasets/fw_qa_v2/min_0_to_2000/*_level_0_val.parquet'
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# self-gen data for other ds
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uv run data/self_generate_qa.py --vllm_model google/gemma-2-2b-it --ds_names squad_compact ropes_compact drop_compact --closed_qa_prob 1.0
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uv run data/self_generate_qa.py --vllm_model google/gemma-2-2b-it --ds_names pwc_compact --closed_qa_prob 0.0
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scripts/main_exp/train.sh
Normal file → Executable file
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scripts/main_exp/train.sh
Normal file → Executable file
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scripts/niah/0-gen_data.sh
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scripts/niah/0-gen_data.sh
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scripts/niah/1-train.sh
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scripts/niah/1-train.sh
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scripts/niah/2-eval.sh
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scripts/niah/2-eval.sh
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@ -1 +0,0 @@
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from . import monkey_patch as monkey_patch
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